Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data

Producción científica: Article › revisión exhaustiva

Idioma original	English
Número de artículo	100941
Publicación	Socio-Economic Planning Sciences
Volumen	80
DOI	https://doi.org/10.1016/j.seps.2020.100941
Estado	Published - mar 2022

ASJC Scopus Subject Areas

@article{dc87818a6fb34ed79a293929b1378790,

title = "Outlier knowledge management for extreme public health events: Understanding public opinions about COVID-19 based on microblog data",

keywords = "Analysis of public opinion, COVID-19, Governance suggestion, Natural language processing, Outlier knowledge management",

author = "Huosong Xia and Wuyue An and Jiaze Li and Zhang, \{Zuopeng (Justin)\}",

note = "Publisher Copyright: {\textcopyright} 2020",

year = "2022",

month = mar,

doi = "10.1016/j.seps.2020.100941",

language = "English",

volume = "80",

}

TY - JOUR

T1 - Outlier knowledge management for extreme public health events

T2 - Understanding public opinions about COVID-19 based on microblog data

AU - Xia, Huosong

AU - An, Wuyue

AU - Li, Jiaze

AU - Zhang, Zuopeng (Justin)

PY - 2022/3

Y1 - 2022/3

KW - Analysis of public opinion

KW - COVID-19

KW - Governance suggestion

KW - Natural language processing

KW - Outlier knowledge management

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UR - https://www.scopus.com/pages/publications/85090968133#tab=citedBy

U2 - 10.1016/j.seps.2020.100941

DO - 10.1016/j.seps.2020.100941

M3 - Article

AN - SCOPUS:85090968133

SN - 0038-0121

VL - 80

JO - Socio-Economic Planning Sciences

JF - Socio-Economic Planning Sciences

M1 - 100941

ER -